code: def f1(p):
      par = p.valuesdict()
      return (
          par["a"] * par["x"] ** 2
          + par["b"] * par["x"] * par["y"]
          + par["c"] * par["y"] ** 2
          + par["d"] * par["x"]
          + par["e"] * par["y"]
          + par["f"]
      )
  
file_path: lmfit-py/examples/example_brute.py
imports: import copy
  from matplotlib.colors import LogNorm
  import matplotlib.pyplot
  import numpy
  from lmfit import Minimizer, create_params, fit_report
label_desc: Use image node_id 1 for calling a global function with example usage: f1(p) and returns: unknown